| 2026 | COLT | Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity. | Hengrui Luo, Anna Ma, Ludovic Stephan, Yizhe Zhu |
| 2025 | COLT | Community detection with the Bethe-Hessian. | Ludovic Stephan, Yizhe Zhu |
| 2024 | COLT | A non-backtracking method for long matrix and tensor completion. | Ludovic Stephan, Yizhe Zhu |
| 2024 | ICML | Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs. | Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan |
| 2023 | COLT | From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks. | Luca Arnaboldi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro |
| 2023 | ICML | Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation. | Luca Pesce, Florent Krzakala, Bruno Loureiro, Ludovic Stephan |
| 2022 | FOCS | Sparse random hypergraphs: Non-backtracking spectra and community detection. | Ludovic Stephan, Yizhe Zhu |
| 2019 | COLT | Planting trees in graphs, and finding them back. | Laurent Massouli, Ludovic Stephan, Don Towsley |
| 2019 | COLT | Robustness of Spectral Methods for Community Detection. | Ludovic Stephan, Laurent Massouli |